Full metadata
Title
State-of-Health Characterization to Estimate Battery Degradation for Second-Life Applications
Description
This paper aims to analyze and estimate the factors affecting the State of Health (SoH) of lithium-ion batteries by leveraging advanced evaluation of electrical and chemo-mechanical processes contributing to degradation. The focus was on characterization and collection of empirical battery cycling data investigating the impact of different input variables on SoH prediction to enable predictions for capacity and degradation to validate reliability for second-life applications. The methodology involves collecting cycling data alongside Electrochemical Impedance Spectroscopy (EIS) using a custom test protocol under varied temperatures and charging rates to simulate real-world conditions. The alterations in capacity and the variation of the open circuit voltage with increasing cycles across different temperatures and c rates are also analyzed. The proposed method facilitates a better understanding of the interplay between temperature and C rates on the capacity, open circuit voltage, nominal voltage and EIS response to help estimate the SoH of lithium-ion batteries.
Date Created
2024
Contributors
- Margoschis, Selva Seelan (Author)
- Rolston, Nicholas (Thesis advisor)
- Chan, Candace (Committee member)
- Hwa, Yoon (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
43 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.193625
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2024
Field of study: Electrical Engineering
System Created
- 2024-05-02 02:24:12
System Modified
- 2024-05-02 02:24:19
- 6 months 3 weeks ago
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